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Configure Caffe's AlexNet prototxt files for fine tuning
Configure Caffe AlexNet prototxt files for fine tuning/transfer learning (freeze some layers, slow down others, etc.). Make sure that the feature scaling values are correct for what we copied over; also configure the solver file to ensure its values are consistent with what we want.
Not sure if this goes into this specific issue but given our current setup I should be fairly simple to try two approaches:
- finetuning AlexNet for cloudless
- training from scratch
Just mentioning it so that once our pipeline is nicely streamlined, we can mess with getting better results.
Now that I'm done prepping the data I'm going to move onto this (and also #3).
This is done but it's not generalizing terribly well. Once I get EC2 GPU instances setup I'll explore this again or perhaps shift over to VGG-128 to match what Planet Labs is doing.